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The Computational Science Ph.D. program aims to equip graduate students with comprehensive computational science knowledge while enabling specialization in scientific, mathematical, or engineering fields. Modern societal challenges often require collaborative solutions from diverse disciplines, making interdisciplinary-trained professionals invaluable team members who can bridge communication gaps and grasp complex problems holistically. Traditional doctoral programs typically maintain narrow specializations, limiting students' exposure to cross-disciplinary research connections. The Department of Scientific Computing (DSC) uniquely positions itself at the convergence of applied mathematics, science, computer science, and engineering to provide this crucial interdisciplinary education.
Given computational science's interdisciplinary nature, student curricula can vary significantly. The Ph.D. program accommodates this diversity through flexible course requirements, mandating three core computational science courses (Group A) that transcend disciplines, plus 12 credits in additional computational science electives (Group B) and 9 credits from computer science, engineering, mathematics, or applied science departments (Group C).